Pearson VUE

Senior AI Scientist

Pearson VUE

full-time

Posted on:

Location Type: Hybrid

Location: Poznan • Poland

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Job Level

Senior

Tech Stack

LinuxMacOSNumpyPandasPythonPyTorchScikit-LearnSQLTensorflowUnix

About the role

  • Leading significant parts of work in the lifecycle of development of learning educational capabilities
  • Research & development in the field of creating data-driven educational products and solutions
  • Designing, implementing and maintaining learning capabilities based on machine-learning and statistics, in collaboration with Engineering teams
  • Designing frameworks for monitoring capabilities performance on production (in collaboration with Engineering teams); evaluating results for improvement
  • Creating and conducting internal trainings
  • Creating technical documentation, incl. patent documentation
  • Sharing work results internally and externally (publications, conferences, meetups)
  • Staying up to date with state-of-the-art methods in the scope of own specialisation, e.g. NLP, speech processing, statistical modelling, psychometrics
  • Providing input into team vision, goals, and processes
  • Leading, mentoring and coaching a small group of direct reports (from intern to regular level data scientists)

Requirements

  • Experience with generative AI models and techniques.
  • Strong collaboration with engineering teams to develop and implement AI solutions.
  • Proven experience in building production-ready machine learning models to solve diverse set of business problems.
  • Good knowledge of statistical modelling and machine learning theory
  • Strong proficiency in Python and machine learning frameworks, e.g. pandas, numpy, scikit-learn, NLTK, spaCy, Hugging Face, TensorFlow, PyTorch
  • Proficiency in SQL and relational databases
  • Ability to translate business needs into research problems
  • Ability to apply best practices for machine learning and software engineering
  • Experience with Git-based code review
  • Proficiency in Linux, Unix or macOS
  • At least intermediate presentation and mentoring skills
  • Ability to work in a diverse, remote, asynchronous team
  • Collaboration skills, e.g. being able to give (and receive) feedback
  • Proficiency in written and spoken English and a key local language
Benefits
  • Professional development
  • Leading significant parts of work in the lifecycle of development of learning educational capabilities
  • Creating internal trainings
  • Creating technical documentation
  • Sharing work results internally and externally
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningstatistical modellinggenerative AIPythonSQLpandasnumpyscikit-learnNLTKTensorFlow
Soft Skills
collaborationmentoringcoachingpresentationfeedbackcommunicationteam visionproblem translationorganizational skillsadaptability